Poster E53, Monday, March 27, 2:30 – 4:30 pm, Pacific Concourse
Functional deficit of EEG brain network in adult who stutter
Amir Hossein Ghaderi1, Bahar Barani2, Soroush Haghparasti3, Hossein Shiravi4, Fatemeh Akrami5; 1Cognitive Neuroscience Lab., Department of psychology, University of Tabriz, Tabriz, Iran, 2MD. Student at University of Kansas Medical Center, Kansas city, USA, 3Department of engineering, University of Kashan, Kashan, Iran, 4Department of engineering, University of Shahid Beheshti, Tehran, Iran, 5School of Health Management and Information Sciencesو Iran University of Medical Sciences, Tehran, Iran
Stuttering is associated with abnormalities in complex cognitive functions such as speech and language. Recent studies suggest that functional deficit in motor system is involved in stuttering and also new evidences suggest that the brain network deficit is evident in people who stutter. In this study, as a first attempt using QEEG, graph theory analysis is applied to investigate the functional brain deficits in adults who stutter. EEG phase lag in different frequency bands is used as edges of graph. Various thresholds were applied and binary adjacent matrices were created. Finally clustering coefficient, global efficiency, transitivity and entropy were used to report functional brain connectivity in the stuttering group compared with normal subjects. , significant differences were observed in the beta (13.5-25 Hz) and the high beta (25-30 Hz) bands. F7, F8, T3, T4 and T5 are completely disconnected, in the high beta band (25-30 Hz). Also, in this frequency band, distorted functional brain network, significant differences in clustering, global efficiency and entropy were observed. In other bands (delta, theta and alpha), the global efficiency and entropy difference was not significant but the clustering coefficient difference was significant only in a few thresholds. The beta oscillation in the striatum is related to movement planning and preparations. Results indicate that the stuttering group exhibit Lower integration and higher segregation in the beta and high beta bands. This is related to more functional modularity and lower speeds of signal propagation in the motor function.
Topic Area: LANGUAGE: Development & aging